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Living microorganisms change the information (Shannon) content of a geophysical system
The detection of microbial colonization in geophysical systems is becoming of interest in various disciplines of Earth and planetary sciences, including microbial ecology, biogeochemistry, geomicrobiology, and astrobiology. Microorganisms are often observed to colonize mineral surfaces, modify the r...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468346/ https://www.ncbi.nlm.nih.gov/pubmed/28607347 http://dx.doi.org/10.1038/s41598-017-03479-1 |
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author | Tang, Fiona H. M. Maggi, Federico |
author_facet | Tang, Fiona H. M. Maggi, Federico |
author_sort | Tang, Fiona H. M. |
collection | PubMed |
description | The detection of microbial colonization in geophysical systems is becoming of interest in various disciplines of Earth and planetary sciences, including microbial ecology, biogeochemistry, geomicrobiology, and astrobiology. Microorganisms are often observed to colonize mineral surfaces, modify the reactivity of minerals either through the attachment of their own biomass or the glueing of mineral particles with their mucilaginous metabolites, and alter both the physical and chemical components of a geophysical system. Here, we hypothesise that microorganisms engineer their habitat, causing a substantial change to the information content embedded in geophysical measures (e.g., particle size and space-filling capacity). After proving this hypothesis, we introduce and test a systematic method that exploits this change in information content to detect microbial colonization in geophysical systems. Effectiveness and robustness of this method are tested using a mineral sediment suspension as a model geophysical system; tests are carried out against 105 experiments conducted with different suspension types (i.e., pure mineral and microbially-colonized) subject to different abiotic conditions, including various nutrient and mineral concentrations, and different background entropy production rates. Results reveal that this method can systematically detect microbial colonization with less than 10% error in geophysical systems with low-entropy background production rate. |
format | Online Article Text |
id | pubmed-5468346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54683462017-06-14 Living microorganisms change the information (Shannon) content of a geophysical system Tang, Fiona H. M. Maggi, Federico Sci Rep Article The detection of microbial colonization in geophysical systems is becoming of interest in various disciplines of Earth and planetary sciences, including microbial ecology, biogeochemistry, geomicrobiology, and astrobiology. Microorganisms are often observed to colonize mineral surfaces, modify the reactivity of minerals either through the attachment of their own biomass or the glueing of mineral particles with their mucilaginous metabolites, and alter both the physical and chemical components of a geophysical system. Here, we hypothesise that microorganisms engineer their habitat, causing a substantial change to the information content embedded in geophysical measures (e.g., particle size and space-filling capacity). After proving this hypothesis, we introduce and test a systematic method that exploits this change in information content to detect microbial colonization in geophysical systems. Effectiveness and robustness of this method are tested using a mineral sediment suspension as a model geophysical system; tests are carried out against 105 experiments conducted with different suspension types (i.e., pure mineral and microbially-colonized) subject to different abiotic conditions, including various nutrient and mineral concentrations, and different background entropy production rates. Results reveal that this method can systematically detect microbial colonization with less than 10% error in geophysical systems with low-entropy background production rate. Nature Publishing Group UK 2017-06-12 /pmc/articles/PMC5468346/ /pubmed/28607347 http://dx.doi.org/10.1038/s41598-017-03479-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tang, Fiona H. M. Maggi, Federico Living microorganisms change the information (Shannon) content of a geophysical system |
title | Living microorganisms change the information (Shannon) content of a geophysical system |
title_full | Living microorganisms change the information (Shannon) content of a geophysical system |
title_fullStr | Living microorganisms change the information (Shannon) content of a geophysical system |
title_full_unstemmed | Living microorganisms change the information (Shannon) content of a geophysical system |
title_short | Living microorganisms change the information (Shannon) content of a geophysical system |
title_sort | living microorganisms change the information (shannon) content of a geophysical system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468346/ https://www.ncbi.nlm.nih.gov/pubmed/28607347 http://dx.doi.org/10.1038/s41598-017-03479-1 |
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